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  <title>Returns the cascade output change fraction</title>

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</div><hr /><div id="function.fann-get-cascade-output-change-fraction" class="refentry">
 <div class="refnamediv">
  <h1 class="refname">fann_get_cascade_output_change_fraction</h1>
  <p class="verinfo">(PECL fann &gt;= 1.0.0)</p><p class="refpurpose"><span class="refname">fann_get_cascade_output_change_fraction</span> &mdash; <span class="dc-title">Returns the cascade output change fraction</span></p>

 </div>

 <div class="refsect1 description" id="refsect1-function.fann-get-cascade-output-change-fraction-description">
  <h3 class="title">说明</h3>
  <div class="methodsynopsis dc-description">
   <span class="type">float</span> <span class="methodname"><strong>fann_get_cascade_output_change_fraction</strong></span>
    ( <span class="methodparam"><span class="type">resource</span> <code class="parameter">$ann</code></span>
   )</div>

  <p class="para rdfs-comment">
   The cascade output change fraction is a number between 0 and 1 determining how large a fraction of the <span class="function"><a href="function.fann-get-mse.html" class="function">fann_get_MSE()</a></span>
   value should change within <span class="function"><a href="function.fann-get-cascade-output-stagnation-epochs.html" class="function">fann_get_cascade_output_stagnation_epochs()</a></span> during training of the output connections,
   in order for the training not to stagnate. If the training stagnates, the training of the output connections
   will be ended and new candidates will be prepared.
  </p>
  <p class="para">
   It means that if the MSE does not change by a fraction of <span class="function"><strong>fann_get_cascade_output_change_fraction()</strong></span> during
   a period of <span class="function"><a href="function.fann-get-cascade-output-stagnation-epochs.html" class="function">fann_get_cascade_output_stagnation_epochs()</a></span>, the training of the output connections is
   stopped because the training has stagnated.
  </p>
  <p class="para">
   If the cascade output change fraction is low, the output connections will be trained more and if the fraction is high,
   they will be trained less.
  </p>
  <p class="para">
   The default cascade output change fraction is 0.01, which is equalent to a 1% change in MSE.
  </p>
 </div>


 <div class="refsect1 parameters" id="refsect1-function.fann-get-cascade-output-change-fraction-parameters">
  <h3 class="title">参数</h3>
  <dl>

   
    <dt>
<em><code class="parameter">ann</code></em></dt>

    <dd>

     <p class="para">Neural network <span class="type"><a href="language.types.resource.html" class="type resource">resource</a></span>.</p>
    </dd>

   
  </dl>

 </div>


 <div class="refsect1 returnvalues" id="refsect1-function.fann-get-cascade-output-change-fraction-returnvalues">
  <h3 class="title">返回值</h3>
  <p class="para">
   The cascade output change fraction, or <strong><code>FALSE</code></strong> on error.
  </p>
 </div>


 <div class="refsect1 seealso" id="refsect1-function.fann-get-cascade-output-change-fraction-seealso">
  <h3 class="title">参见</h3>
  <p class="para">
   <ul class="simplelist">
    <li class="member"><span class="function"><a href="function.fann-set-cascade-output-change-fraction.html" class="function" rel="rdfs-seeAlso">fann_set_cascade_output_change_fraction()</a> - Sets the cascade output change fraction</span></li>
    <li class="member"><span class="function"><a href="function.fann-get-mse.html" class="function" rel="rdfs-seeAlso">fann_get_MSE()</a> - Reads the mean square error from the network</span></li>
    <li class="member"><span class="function"><a href="function.fann-get-cascade-output-stagnation-epochs.html" class="function" rel="rdfs-seeAlso">fann_get_cascade_output_stagnation_epochs()</a> - Returns the number of cascade output stagnation epochs</span></li>
   </ul>
  </p>
 </div>



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